Review Essay: Autoethnography: Answerability/Responsibility in Authoring Self and Others in the Social Sciences/Humanities
Bibliographic record
Abstract
ELLIS' methodological novel about autoethnography is an example of the increasing emergence of alternative forms of writing in the social sciences/humanities that focus on a dialogic notion of self, voice and human consciousness. Autoethnography is a genre of writing in which authors draw on their own lived experiences, connect the personal to the cultural and place the self and others within a social context (REED-DANAHAY, 1997). To understand this commitment to self-reflexive ways of knowing and writing, I draw on BAKHTIN's concept of authoring as creative answerability/responsibility (otvetsvennost) that views a self as answerable not only to the social environment, but is also answerable for the authoring of its responses. The Ethnographic I serves as a useful text to engage the issues that autoethnography raises both as genre and alternative discourses for authoring self and others. URN: urn:nbn:de:0114-fqs0602165
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".